Results 161 to 170 of about 590,535 (202)
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2022
For transcriptome sequencing of human HaCaT keratinocytes, after transfection with LNA (Ctr/Gap-1) in keratinocytes for 48h, cells were digested and collected, and then sent to the company for sequencing.
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For transcriptome sequencing of human HaCaT keratinocytes, after transfection with LNA (Ctr/Gap-1) in keratinocytes for 48h, cells were digested and collected, and then sent to the company for sequencing.
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RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis
2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015In this work is presented a process of design and building of a software that gather the tools required for a RNA-Seq data bioinformatics research. From the proposed a workflow is proposed that represents all a process that goes through the main stages of the treatment of transcriptomic and next generation sequencing data, such as preprocessing ...
Miguel Ramirez +2 more
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2021
RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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RNA-Seq data analysis stands as a vital part of genomics research, turning vast and complex datasets into meaningful biological insights. It is a field marked by rapid evolution and ongoing innovation, necessitating a thorough understanding for anyone seeking to unlock the potential of RNA-Seq data.
James, Li +2 more
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James, Li +2 more
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RNA‐Seq Read Alignments with PALMapper
Current Protocols in Bioinformatics, 2010AbstractNext‐generation sequencing technologies have revolutionized genome and transcriptome sequencing. RNA‐Seq experiments are able to generate huge amounts of transcriptome sequence reads at a fraction of the cost of Sanger sequencing. Reads produced by these technologies are relatively short and error prone.
Jean, Géraldine +4 more
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RNA sequencing (RNA-Seq) has emerged as a powerful and versatile tool for the comprehensive analysis of transcriptomes and has been widely used to investigate gene expression, copy number variation, alternative splicing, and novel transcript discovery. This chapter outlines the methodology for conducting short-read RNA-Seq, starting from RNA enrichment
Rong, Hu +3 more
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Rong, Hu +3 more
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Current Osteoporosis Reports, 2019
The goal of this paper is to review state-of-the-art transcriptome profiling methods and their recent applications in the field of skeletal biology.Next-generation sequencing of mRNA (RNA-seq) methods have been established and routinely used in skeletal biology research.
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The goal of this paper is to review state-of-the-art transcriptome profiling methods and their recent applications in the field of skeletal biology.Next-generation sequencing of mRNA (RNA-seq) methods have been established and routinely used in skeletal biology research.
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Computational Analysis of RNA-seq
2012Using High-Throughput DNA Sequencing (HTS) to examine gene expression is rapidly becoming a -viable choice and is typically referred to as RNA-seq. Often the depth and breadth of coverage of RNA-seq data can exceed what is achievable using microarrays. However, the strengths of RNA-seq are often its greatest weaknesses.
Scott A, Givan +2 more
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RNA-Seq SSRs and small RNA-Seq SSRs: New approaches in cancer biomarker discovery
Gene, 2015The recent exponential increase in the number of next generation sequencing studies provides a new source of data for the discovery of functional genomics based markers. The RNA-seq and small RNA-seq provide a new source for the discovery of differentially expressed SSRs (simple sequence repeats) as biomarkers in various diseases. In the present study,
Arghavan, Alisoltani +4 more
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